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@ARTICLE{Li:132940,
      author       = {S. X. Li and F. Imamura and M. B. Schulze and J. Zheng and
                      Z. Ye and A. Agudo and E. Ardanaz and D. Aune and H. Boeing
                      and M. Dorronsoro and C. Dow and G. Fagherazzi and S. Grioni
                      and M. J. Gunter and J. M. Huerta and D. B. Ibsen and M. U.
                      Jakobsen and R. Kaaks$^*$ and T. J. Key and K.-T. Khaw and
                      C. Kyrø and F. R. Mancini and E. Molina-Portillo and N.
                      Murphy and P. M. Nilsson and N. C. Onland-Moret and D. Palli
                      and S. Panico and A. Poveda and J. R. Quirós and F. Ricceri
                      and I. Sluijs and A. M. W. Spijkerman and A. Tjonneland and
                      R. Tumino and A. Winkvist and C. Langenberg and S. J. Sharp
                      and E. Riboli and R. A. Scott and N. G. Forouhi and N. J.
                      Wareham},
      title        = {{I}nterplay between genetic predisposition, macronutrient
                      intake and type 2 diabetes incidence: analysis within
                      {EPIC}-{I}nter{A}ct across eight {E}uropean countries.},
      journal      = {Diabetologia},
      volume       = {61},
      number       = {6},
      issn         = {1432-0428},
      address      = {Berlin},
      publisher    = {Springer},
      reportid     = {DKFZ-2018-00579},
      pages        = {1325 - 1332},
      year         = {2018},
      abstract     = {Gene-macronutrient interactions may contribute to the
                      development of type 2 diabetes but research evidence to date
                      is inconclusive. We aimed to increase our understanding of
                      the aetiology of type 2 diabetes by investigating potential
                      interactions between genes and macronutrient intake and
                      their association with the incidence of type 2 diabetes.We
                      investigated the influence of interactions between genetic
                      risk scores (GRSs) for type 2 diabetes, insulin resistance
                      and BMI and macronutrient intake on the development of type
                      2 diabetes in the European Prospective Investigation into
                      Cancer and Nutrition (EPIC)-InterAct, a prospective
                      case-cohort study across eight European countries
                      (N = 21,900 with 9742 incident type 2 diabetes cases).
                      Macronutrient intake was estimated from diets reported in
                      questionnaires, including proportion of energy derived from
                      total carbohydrate, protein, fat, plant and animal protein,
                      saturated, monounsaturated and polyunsaturated fat and
                      dietary fibre. Using multivariable-adjusted Cox regression,
                      we estimated country-specific interaction results on the
                      multiplicative scale, using random-effects meta-analysis.
                      Secondary analysis used isocaloric macronutrient
                      substitution.No interactions were identified between any of
                      the three GRSs and any macronutrient intake, with
                      low-to-moderate heterogeneity between countries (I2 range
                      $0-51.6\%).$ Results were similar using isocaloric
                      macronutrient substitution analyses and when weighted and
                      unweighted GRSs and individual SNPs were examined.Genetic
                      susceptibility to type 2 diabetes, insulin resistance and
                      BMI did not modify the association between macronutrient
                      intake and incident type 2 diabetes. This suggests that
                      macronutrient intake recommendations to prevent type 2
                      diabetes do not need to account for differences in genetic
                      predisposition to these three metabolic conditions.},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {323 - Metabolic Dysfunction as Risk Factor (POF3-323)},
      pid          = {G:(DE-HGF)POF3-323},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29549418},
      doi          = {10.1007/s00125-018-4586-2},
      url          = {https://inrepo02.dkfz.de/record/132940},
}